PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-04-10 10:21:31.362508+00:00 (UTC)
In US/Central Time, this is 2024-04-10 05:21:31.362508-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/458d06178dc54ed85bc57946940e7502bedc7fda4b74b5ffb6ee964954fefef4.png
We are just generating a random time serie here.
../_images/b905fc7af589b8a22e26225a024f70f2882f60f54a3b6a2d314870e1d2d7c21c.png
../_images/be45b3963f7c6fb5e541b8229974d7657dc57f6514ca2b4f320d8994ec22b5c2.png